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PVLDB
2008
123views more  PVLDB 2008»
13 years 8 months ago
Propagating functional dependencies with conditions
The dependency propagation problem is to determine, given a view defined on data sources and a set of dependencies on the sources, whether another dependency is guaranteed to hold...
Wenfei Fan, Shuai Ma, Yanli Hu, Jie Liu, Yinghui W...
CLEIEJ
2010
13 years 6 months ago
Evaluation of a Fault-tolerant Model for Tactic Operations of Mobile Robotic Groups Using Genetic Algorithms
This paper addresses the evaluation of a fault-tolerant model for tactic operations of mobile robotic groups. The coordinated action of the group is planned with Genetic Algorithm...
Gustavo Pessin, Fernando Santos Osório
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 3 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
CVPR
2004
IEEE
14 years 10 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev